What is Signal Strength?
Signal Strength measures how actively a spread opportunity oscillates — how often the price difference between two exchanges crosses the profitable threshold, and then drops back below it, and then crosses it again. A higher Signal Strength means the opportunity keeps coming back, which is especially valuable for automated trading.
Think of it like a radio signal: a strong signal means consistent, reliable reception. In arbitrage, a strong signal means the spread between two exchanges regularly enters and exits the profitable zone — giving you more chances to open and close trading cycles. The indicator appears as a progress bar with a percentage on each signal card — the fuller the bar, the stronger the signal.
Why Oscillation Matters
Not all spreads are created equal. A large spread of 0.8% that appeared once and stays static could be a pricing anomaly, a sign of low liquidity, or even different tokens sharing the same ticker on two exchanges. It might not close when you need it to. But a smaller spread of 0.5% that keeps appearing and disappearing shows healthy market activity and natural mean reversion between the two exchanges.
Oscillating signals represent real, repeatable trading opportunities. Each time the spread crosses the threshold, that's a potential trading cycle — an open and close. More oscillations per minute mean more chances to capture profit. Signal Strength quantifies this oscillation frequency so you can prioritize the most actionable opportunities at a glance, without staring at charts.
profit per session ≈ cycles × (spread − fees − slippage)- cycles
- How many times the spread crossed and came back. This is the term Strength measures, and the one operators forget.
Oscillation frequency matters because arbitrage profit compounds across cycles. A simplified model: profit per session ≈ cycles × (spread − fees − slippage). Take a pair oscillating 10 times per day at a 0.4% gross spread, with 0.1% round-trip fees and 0.1% slippage — net 0.2% per cycle, 2% daily on the deployed capital. The same 0.4% spread on a pair that mean-reverts only once per day delivers 0.2% daily — ten times less throughput from an identical spread headline. This is why high-frequency arbitrage signals on liquid pairs routinely outperform "fat-spread" signals on illiquid ones, and why sorting purely by spread % is misleading. Strength captures the cycles-per-day variable directly: a 70% strength bar means the spread crossed the threshold often enough recently to expect repeated arbitrage opportunity, not just a single one-shot entry.
Reading the Indicator
0–30%
Grey. Either the signal just appeared and has not oscillated yet, or the spread went static. Treat it as a one-shot entry, not a card candidate.
30–60%
Amber. The spread crosses back and forth, but not often enough to count on. Watch it before committing a card.
60–100%
Green. The spread has crossed the threshold often enough recently to expect it again. These are the pairs worth automating.
The indicator updates in real-time as new market data flows in. A signal that starts at 10% may climb to 80% or higher as the spread continues to cross the threshold back and forth. Conversely, if a spread stabilizes and stops oscillating, the percentage will gradually decay over time. This decay prevents stale signals from appearing strong — only consistently active opportunities keep their high rating.
Sorting by Strength
The dashboard offers three sorting modes: "Spread %", "Strength", and "Volume". By default, signals are sorted by spread percentage — the largest spreads appear first. Click "Strength" to bring the most actively oscillating signals to the top, or "Volume" to prioritize the most liquid pairs.
Sort by Spread %
- The biggest one-time discrepancies first. Good for hunting a single fat entry, bad for picking a card.
Sort by Strength
- The most repeatable opportunities first. This is the sort to use when you are choosing what to automate.
Sort by Volume
- The deepest pairs first, for larger order sizes with minimal slippage.
Strength alone is a necessary but not sufficient filter. The best crypto arbitrage signals combine high strength with healthy volume and clean orderbook depth. A practical rule of thumb: filter to strength ≥ 60% AND 24h volume ≥ $10M AND depth multiplier ≥ 1.5x your trade size. This weeds out high-strength signals on dead or pump-and-dump tokens — the kind that oscillate violently right before a delisting, or that a single whale can manipulate. To filter crypto trading signals robustly, also exclude pairs flagged by the delist detector and pairs with funding rates outside ±0.5% per 8h, since extreme funding usually signals one-sided positioning that distorts the spread.
When Signal Strength Misleads You
Strength rising into a delisting
Not every high strength score is a profitable signal. The most dangerous false-positive pattern is strength rising sharply right before a delisting. As market makers withdraw from a doomed pair, the orderbook thins out and the spread starts whipsawing across the threshold from minor flow, inflating the strength bar. The opportunity looks textbook on the dashboard, but actual execution slippage destroys profitability and you can be caught in an unhedged position when the exchange pulls the contract. Always cross-check high-strength signals against the delist detector — Arbitron flags affected pairs in red, and you should ignore strength scores on any pair within the warning window.
Phantom oscillation on a pumped token
The second misleading pattern is phantom oscillation on pump-and-dump tokens. A single whale or coordinated group can push price up on one exchange where they have inventory, then sell off; the resulting cross-exchange spread oscillates frequently and pushes strength to 80–100%. But this oscillation is not mean-reversion — it is liquidity being manipulated, and the next move is just as likely to be a parabolic move against you. Tells: spike in 24h volume (3x+ over weekly average), no relevant news driver, listing on fewer than four exchanges. When all three match, skip the signal regardless of strength.
Post-event aftershock
The third pattern is post-event aftershock. Within the first 60–90 minutes after a major news release (CPI print, FOMC decision, exchange announcement) spreads on liquid majors oscillate frantically as algos rebalance, and strength scores spike across the board. These oscillations are real, but they are also being arbitraged by professional firms with sub-millisecond latency — by the time your market order reaches the exchange, the spread is gone. As a retail or mid-tier operator, treat strength scores during the first hour of any high-impact event as informational only. Strength becomes reliable again once volatility normalizes, typically two to four hours later.